Microsoft bi stack powerpoint




















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Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. All rights reserved. Power BI. What is Power BI? Start free Watch overview. Bridge the gap between data and decision making.

Create amazing data experiences. Gain insight from your largest BI deployments. Make decisions with confidence. Optimize your business intelligence with trusted Microsoft technologies.

End-to-end data protection. Better together. Extensive data connectors. Watch Power BI in action. Watch a demo. Explore Power BI. Read the Guide. Other tools or platforms available include Master Data Services, integration with Microsoft Office products, such as Excel.

You can follow any responses to this entry through the RSS 2. You can leave a response , or trackback from your own site. You are commenting using your WordPress. You are commenting using your Google account. You are commenting using your Twitter account. You are commenting using your Facebook account. Notify me of new comments via email. Notify me of new posts via email. This allows a user to work with a large amount of data in Excel anecdotally, tens of millions of records is possible.

Some data transformations are permitted. PowerMap — Excel add-in for plotting geo data and creating maps. There are two other parts of Office on the periphery of the BI stack: SharePoint , which from can serve as a portal or repository for storing and organizing report output. The venerable Access database still exists, which can connect to almost any other relational database, effectively serving as a front end or integration point for larger data sources. SQL Server. SQL Server — The all purpose relational database.

It is proven and mature technology, well suited for data warehouse work. What is new in MSAS is tabular modeling which builds an in-memory, columnar database structure for high performance reporting. Tabular and multidimensional models are complementary solutions each with their own optimal use cases.

Data Quality Services — Tools for cleansing and enhancing data. As per a long standing Microsoft tradition, Excel remains a key piece of their BI stack. This is great for power users who are comfortable with self-service BI. This might not be right for organizations that are no longer interested in supporting powerful Windows desktop PCs or in environments where reports need to be delivered to users with low technical skill levels. There also has to be an acceptance that data will continue to live in Excel spreadsheets.



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